Zeyu Liu

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 9

Top Topics

Biologically Inspired

Training Algorithm

Spiking Neural Networks

Computer Vision

Top Venues

Publications

Zeyu Liu, Gourav Datta, Anni Li, Peter Anthony Beerel
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units. CoRR (2024)
Zeyu Liu, Gourav Datta, Anni Li, Peter Anthony Beerel
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units. ICLR (2024)
Zeyu Liu, Souvik Kundu, Anni Li, Junrui Wan, Lianghao Jiang, Peter Anthony Beerel
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models. CoRR (2024)
Gourav Datta, Zeyu Liu, Peter Anthony Beerel
Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision? ICLR (2024)
Gourav Datta, Zeyu Liu, Peter A. Beerel
Training Ultra-Low-Latency Spiking Neural Networks from Scratch. ICASSP (2024)
Gourav Datta, Haoqin Deng, Robert Aviles, Zeyu Liu, Peter A. Beerel
Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency. ISLPED (2023)
Gourav Datta, Zeyu Liu, Md. Abdullah-Al Kaiser, Souvik Kundu, Joe Mathai, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel
In-Sensor & Neuromorphic Computing Are all You Need for Energy Efficient Computer Vision. ICASSP (2023)
Gourav Datta, Zeyu Liu, Anni Li, Peter A. Beerel
Spiking Neural Networks with Dynamic Time Steps for Vision Transformers. CoRR (2023)
Gourav Datta, Zeyu Liu, James Diffenderfer, Bhavya Kailkhura, Peter A. Beerel
When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks. CoRR (2023)